Taming Textual Data: The Contribution of Corpus Linguistics to Computer-Aided Text Analysis

被引:90
作者
Pollach, Irene [1 ]
机构
[1] Univ Aarhus, Fac Business & Social Sci, Dept Business Commun, DK-8210 Aarhus, Denmark
关键词
computer-aided text analysis; corpus linguistics; content analysis; language analysis; CRITICAL DISCOURSE ANALYSIS; EXTREME CASE FORMULATIONS; STRATEGIC MANAGEMENT; ESPOUSED VALUES; LANGUAGE; WORDS; ORGANIZATIONS; ATTRIBUTIONS; ATTENTION; RISK;
D O I
10.1177/1094428111417451
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Corpus linguistics studies real-life language use on the basis of a text corpus, drawing on both quantitative and qualitative text analysis techniques. This article seeks to bridge the gap between the social sciences and linguistics by introducing the techniques of corpus linguistics to the field of computer-aided text analysis. The article first discusses the differences between corpus linguistics and computer-aided text analysis, which is divided into computer-aided content analysis and computer-aided interpretive textual analysis. It then outlines the techniques of corpus linguistics for exploring textual data. In an exemplary analysis of letters to shareholders, the article demonstrates how these techniques can be applied to compare letters to shareholders from two different years. The article concludes with a discussion of the strengths and limitations of corpus linguistics for management and organization studies.
引用
收藏
页码:263 / 287
页数:25
相关论文
共 26 条
  • [21] Computer-Aided Screening of Autism Spectrum Disorder: Eye-Tracking Study Using Data Visualization and Deep Learning
    Cilia, Federica
    Carette, Romuald
    Elbattah, Mahmoud
    Dequen, Gilles
    Guerin, Jean-Luc
    Bosche, Jerome
    Vandromme, Luc
    Le Driant, Barbara
    JMIR HUMAN FACTORS, 2021, 8 (04):
  • [22] Computer-aided Global Breast MR Image Feature Analysis for Prediction of Tumor Response to Chemotherapy: Performance Assessment
    Aghaei, Faranak
    Tan, Maxine
    Hollingsworth, Alan B.
    Cheng, Samuel
    Zheng, Bin
    MEDICAL IMAGING 2016: COMPUTER-AIDED DIAGNOSIS, 2015, 9785
  • [23] Using Computer-Aided Content Analysis to Map a Research Domain: A Case Study of Institutional Legitimacy in Postconflict East Timor
    Fisk, Kylie
    Cherney, Adrian
    Hornsey, Matthew
    Smith, Andrew
    SAGE OPEN, 2012, 2 (04): : 1 - 15
  • [24] Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis
    Nazarian, Scarlet
    Glover, Ben
    Ashrafian, Hutan
    Darzi, Ara
    Teare, Julian
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2021, 23 (07)
  • [25] Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences
    Walsh, Julia
    Cave, Jonathan
    Griffiths, Frances
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2024, 26
  • [26] Pedicle Screw Placement Using Intraoperative Computed Tomography and Computer-Aided Spinal Navigation Improves Screw Accuracy and Avoids Postoperative Revisions: Single-Center Analysis of 1400 Pedicle Screws
    Hagan, Matthew J.
    Syed, Sohail
    Leary, Owen P.
    Persad-Paisley, Elijah M.
    Lin, Yang
    Zheng, Bryan
    Shao, Belinda
    Abdulrazeq, Hael
    Yu, James Y. H.
    Telfeian, Albert E.
    Gokaslan, Ziya L.
    Fridley, Jared S.
    Oyelese, Adetokunbo A.
    WORLD NEUROSURGERY, 2022, 160 : E169 - E179